Muhao Chen
Orcid: 0000-0003-0118-3147
According to our database1,
Muhao Chen
authored at least 176 papers
between 2015 and 2024.
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Bibliography
2024
An Untethered Bioinspired Robotic Tensegrity Dolphin with Multi-Flexibility Design for Aquatic Locomotion.
CoRR, 2024
FATH: Authentication-based Test-time Defense against Indirect Prompt Injection Attacks.
CoRR, 2024
CoRR, 2024
SudoLM: Learning Access Control of Parametric Knowledge with Authorization Alignment.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Form-Finding and Physical Property Predictions of Tensegrity Structures Using Deep Neural Networks.
CoRR, 2024
Securing Multi-turn Conversational Language Models Against Distributed Backdoor Triggers.
CoRR, 2024
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning.
CoRR, 2024
CoRR, 2024
FamiCom: Further Demystifying Prompts for Language Models with Task-Agnostic Performance Estimation.
CoRR, 2024
CoRR, 2024
Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance Paraphrasing.
CoRR, 2024
Visual-RolePlay: Universal Jailbreak Attack on MultiModal Large Language Models via Role-playing Image Characte.
CoRR, 2024
Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging.
CoRR, 2024
Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination?
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-Backdoors.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Securing Multi-turn Conversational Language Models From Distributed Backdoor Attacks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
AdaShield : Safeguarding Multimodal Large Language Models from Structure-Based Attack via Adaptive Shield Prompting.
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
Proceedings of the 60th Annual Allerton Conference on Communication, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations.
CoRR, 2023
Deceiving Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination?
CoRR, 2023
On the Exploitability of Reinforcement Learning with Human Feedback for Large Language Models.
CoRR, 2023
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Are All Steps Equally Important? Benchmarking Essentiality Detection in Event Processes.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction?
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
2022
Trans. Assoc. Comput. Linguistics, 2022
AdaDiag: Adversarial Domain Adaptation of Diagnostic Prediction with Clinical Event Sequences.
J. Biomed. Informatics, 2022
CoRR, 2022
Design and control analysis of a deployable clustered hyperbolic paraboloid cable net.
CoRR, 2022
Equilibrium and stiffness study of clustered tensegrity structures with the consideration of pulley sizes.
CoRR, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Bending the Future: Autoregressive Modeling of Temporal Knowledge Graphs in Curvature-Variable Hyperbolic Spaces.
Proceedings of the 4th Conference on Automated Knowledge Base Construction, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
JEDI: circular RNA prediction based on junction encoders and deep interaction among splice sites.
Bioinform., 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Proc. VLDB Endow., 2020
Cross-lingual Entity Alignment for Knowledge Graphs with Incidental Supervision from Free Text.
CoRR, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the Advances in Information Retrieval, 2020
Proceedings of the 24th Conference on Computational Natural Language Learning, 2020
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020
Diagnostic Prediction with Sequence-of-sets Representation Learning for Clinical Events.
Proceedings of the Artificial Intelligence in Medicine, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Bioinform., 2019
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Proceedings of the Semantic Web - ISWC 2019, 2019
Proceedings of the 4th Workshop on Representation Learning for NLP, 2019
Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
Towards Efficient Cellular Traffic Offloading via Dynamic MPTCP Path Configuration with SDN.
Proceedings of the International Conference on Computing, Networking and Communications, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the Advances in Information Retrieval, 2019
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Towards Opportunistic Resource Sharing in Mobile Social Networks: an Evolutionary Game Theoretic Approach.
Proceedings of the Nineteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2018
Proceedings of the Nineteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2018
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017
Multi-graph Affinity Embeddings for Multilingual Knowledge Graphs.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017
2016
CoRR, 2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
2015
SPARQLT and its User-Friendly Interface for Managing and Querying the History of RDF Knowledge Bases.
Proceedings of the ISWC 2015 Posters & Demonstrations Track co-located with the 14th International Semantic Web Conference (ISWC-2015), 2015